The Data Engineer will develop GenAI solutions for Telecom OSS/BSS platforms, focusing on ML systems, APIs, and scalable services. Responsibilities include end-to-end MLOps pipelines and working with cloud-native ML deployments.
Join our Team
About this opportunity:
Welcome to an exciting opportunity at Ericsson, where you'll step into the role of a Data Engineer working on high-volume, low-latency data platforms powering next-gen GenAI systems, AI agents, and enterprise copilots for Telecom OSS/BSS. We build production-grade systems that drive automation, intelligence, and decisioning at scale. Real systems. Real impact.
What you will do:
Build and operate large-scale, high-throughput data systems handling massive datasets
Develop complex, scalable solutions using Python and Java
Design and optimize distributed data pipelines using Apache Spark
Engineer low-latency, high-performance data processing systems (batch + streaming)
Work with Cassandra and OpenSearch/Elasticsearch for high availability and scale
Develop scalable backend services and REST APIs (Spring Boot-based microservices)
Experience to work with AWS (Kiro) / Microsoft Copilot stack
Develop MCP-based applications and integrations with enterprise systems
Build RAG pipelines across network, service, customer, and operational data
Engineer data pipelines for embeddings, vector stores, and retrieval systems
Implement end-to-end Data/MLOps pipelines using Docker, Kubernetes, Kubeflow, and CI/CD
Ensure system performance, scalability, observability, and reliability
Manage and mitigate FOSS (Free & Open Source Software) vulnerabilities using security scanning and patching practices
The skills you bring:
Strong Python and Java expertise with experience building production-grade systems is mandatory
Hands-on experience with Apache Spark (PySpark/Scala/Java) and distributed processing
Proven experience in high-volume, low-latency system design and optimization
Strong knowledge of Cassandra, OpenSearch/Elasticsearch, and NoSQL data modeling is mandatory
Experience building scalable APIs and microservices (Spring Boot)
Hands-on experience with cloud platforms (AWS or GCP)
Strong working knowledge of Docker and Kubernetes
Experience with vulnerability management and non functional features ( alarm , logging , fault management etc.)
Good understanding of LLMs, embeddings, RAG, and GenAI data pipelines
Exposure to developer copilots / AI-assisted coding tools
Good to have:
Telecom OSS/BSS domain knowledge (business + data)
Experience with Databricks, Snowflake, or similar platforms
Understanding of AI observability, explainability, and responsible AI
"All academic credentials must be from recognized and accredited institutions and are further subject to verification."
About this opportunity:
Welcome to an exciting opportunity at Ericsson, where you'll step into the role of a Data Engineer working on high-volume, low-latency data platforms powering next-gen GenAI systems, AI agents, and enterprise copilots for Telecom OSS/BSS. We build production-grade systems that drive automation, intelligence, and decisioning at scale. Real systems. Real impact.
What you will do:
Build and operate large-scale, high-throughput data systems handling massive datasets
Develop complex, scalable solutions using Python and Java
Design and optimize distributed data pipelines using Apache Spark
Engineer low-latency, high-performance data processing systems (batch + streaming)
Work with Cassandra and OpenSearch/Elasticsearch for high availability and scale
Develop scalable backend services and REST APIs (Spring Boot-based microservices)
Experience to work with AWS (Kiro) / Microsoft Copilot stack
Develop MCP-based applications and integrations with enterprise systems
Build RAG pipelines across network, service, customer, and operational data
Engineer data pipelines for embeddings, vector stores, and retrieval systems
Implement end-to-end Data/MLOps pipelines using Docker, Kubernetes, Kubeflow, and CI/CD
Ensure system performance, scalability, observability, and reliability
Manage and mitigate FOSS (Free & Open Source Software) vulnerabilities using security scanning and patching practices
The skills you bring:
Strong Python and Java expertise with experience building production-grade systems is mandatory
Hands-on experience with Apache Spark (PySpark/Scala/Java) and distributed processing
Proven experience in high-volume, low-latency system design and optimization
Strong knowledge of Cassandra, OpenSearch/Elasticsearch, and NoSQL data modeling is mandatory
Experience building scalable APIs and microservices (Spring Boot)
Hands-on experience with cloud platforms (AWS or GCP)
Strong working knowledge of Docker and Kubernetes
Experience with vulnerability management and non functional features ( alarm , logging , fault management etc.)
Good understanding of LLMs, embeddings, RAG, and GenAI data pipelines
Exposure to developer copilots / AI-assisted coding tools
Good to have:
Telecom OSS/BSS domain knowledge (business + data)
Experience with Databricks, Snowflake, or similar platforms
Understanding of AI observability, explainability, and responsible AI
"All academic credentials must be from recognized and accredited institutions and are further subject to verification."
Ericsson Bengaluru, Karnataka, IND Office
Ericsson Bengaluru Hub Office
Major tech campus on the Outer Ring Road with offices, food courts and services inside the park. Close to key residential areas, though busy, it’s central to Bengaluru’s tech ecosystem.
Similar Jobs at Ericsson
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Responsible for driving technical solutions based on customer needs, supporting consultants, providing technical guidance, and evaluating emerging technologies to recommend integration.
Top Skills:
AnsibleApi Design PatternsDevOpsDockerElastic SearchJ2EeJavaJIRAKubernetesMessagingMicroservicesPythonWebservices
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Develop, configure, and maintain BMC Helix/Remedy ITSM applications across the full SDLC. Administer Remedy servers and mid-tier, perform upgrades and data loads, build integrations and migrations, troubleshoot workflows and databases, and translate business requirements into technical designs aligned with ITIL practices.
Top Skills:
AddmApproval ServerAr ServerAsset ManagementB2B IntegrationBcmBmc HelixBmc Remedy Ar System (Ars 8.0+)Bmc Remedy Itsm SuiteChange ManagementCmdbEmail EngineIncident ManagementItsmKnowledge ManagementMid-TierPl/SqlProblem ManagementSdlcSlmSQLSrm
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Lead the design and delivery of IBM Netcool solutions, managing multi-vendor integrations and implementing DevOps practices while mentoring junior engineers.
Top Skills:
AnsibleCorbaDashDb2DockerIbm NetcoolImpactItnmJdbcJenkinsKubernetesMySQLNoiObjectserverOmnibusOraclePerlPostgresPythonShellSnmpSyslogTbsmWebgui
What you need to know about the Bengaluru Tech Scene
Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
